AI

The rapid advancements in artificial intelligence have opened new possibilities, but the associated costs often limit who can benefit from these technologies….

Large language models (LLMs) have become crucial tools for applications in natural language processing, computational mathematics, and programming. Such models often require…

Multilingual knowledge graphs (KGs) provide high-quality relational and textual information for various NLP applications, but they are often incomplete, especially in non-English…

Artificial Intelligence (AI) has made significant strides in various fields, including healthcare, finance, and education. However, its adoption is not without challenges….

Amazon Q Business can increase productivity across diverse teams, including developers, architects, site reliability engineers (SREs), and product managers. Amazon Q Business…

Developing Graphical User Interface (GUI) Agents faces two key challenges that hinder their effectiveness. First, existing agents lack robust reasoning capabilities, relying…

Given the value of data today, organizations across various industries are working with vast amounts of data across multiple formats. Manually reviewing…

Large reasoning models are developed to solve difficult problems by breaking them down into smaller, manageable steps and solving each step individually….

Developing effective multi-modal AI systems for real-world applications requires handling diverse tasks such as fine-grained recognition, visual grounding, reasoning, and multi-step problem-solving….